International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 185 - Issue 1 |
Published: Apr 2023 |
Authors: Rahul, Rajeev Thakur |
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Rahul, Rajeev Thakur . Analysis on Weed Identification using Deep Learning and Image Processing in Vegetable Plantation. International Journal of Computer Applications. 185, 1 (Apr 2023), 19-23. DOI=10.5120/ijca2023922612
@article{ 10.5120/ijca2023922612, author = { Rahul,Rajeev Thakur }, title = { Analysis on Weed Identification using Deep Learning and Image Processing in Vegetable Plantation }, journal = { International Journal of Computer Applications }, year = { 2023 }, volume = { 185 }, number = { 1 }, pages = { 19-23 }, doi = { 10.5120/ijca2023922612 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2023 %A Rahul %A Rajeev Thakur %T Analysis on Weed Identification using Deep Learning and Image Processing in Vegetable Plantation%T %J International Journal of Computer Applications %V 185 %N 1 %P 19-23 %R 10.5120/ijca2023922612 %I Foundation of Computer Science (FCS), NY, USA
This analysis should determine which weeds are present in the field and the density of those weeds so that herbicides targeting those weeds may be selected. The process of identifying the weeds become more challenging when both plant and weed regions overlap (inter-leaves). The proposed system addresses this problem by creating a sophisticated means for weed identification. The major components of this system are composed of three processes: Image Segmentation, Feature Extraction, and Decision-Making. In the Image Segmentation process, the input images are processed into lower units where the relevant features are extracted.